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BI Developer/Data Engineer building scalable data platforms, ETL pipelines, and data models using SQL, PostgreSQL, Python, Airflow, and Data Lake architectures in a hybrid role in Madrid.
Design and maintain data pipelines, optimize analytical databases, and build Data Lake structures using SQL, PostgreSQL, Python, and Airflow to support business analytics and reporting.
Build and optimize cloud-native observability and data infrastructure services using AWS, C++, and stream/data processing tools like Flink, Kafka, Spark, and ClickHouse, with exposure to AI/ML workloads including LLM inference.
Builds scalable real-time recommendation systems and distributed data infrastructure, integrating cloud services and AI/ML models to analyze user behavior and optimize software performance.
Job Description: Data Infrastructure & Architecture: Design, develop, and maintain large-scale, complex data warehouse architectures. You will lead the sourcing of new data streams and ensure our infrastructure is…
Architect and build production-grade LLM-powered data products (Text-to-SQL, dashboards, insights) for enterprise analytics at a large ecommerce company.
Junior DevOps & Cloud Engineer maintaining multi-cloud infrastructure (Azure, AWS, GCP), CI/CD pipelines via Azure DevOps, and IaC with Terraform while supporting Kubernetes microservices and data warehouse platforms.
The Data Engineer will maintain and improve an in-house data warehouse and manage ETL workflows to support data-driven decision-making for a large social ecommerce platform. The role requires strong proficiency in SQL, Python, ETL tools, and AWS cloud services.
Leads a data engineering team to design, build, and optimize a distributed data platform for AI-driven mobile content, balancing hands-on coding with technical direction and team growth.
Snatch UP is seeking a Senior DevOps Engineer in Kraków to manage and scale their AWS infrastructure and data pipeline ecosystem. The role focuses on production hardening and cloud strategy using technologies like Kubernetes, ClickHouse, DynamoDB, and Redis.
Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot…
Builds and maintains high-performance event pipelines, Elasticsearch search layers, and Kafka integrations to handle customer data at scale, ensuring reliability under load spikes and cross-team coordination.
Senior DevOps Engineer driving AWS infrastructure at scale, migrating from ECS Fargate to EKS, advancing IaC with Terraform/OpenTofu, and scaling CI/CD pipelines and data-intensive systems for a high-volume public data infrastructure company.
Analyze real-world driving data to validate quality, spot edge cases, and improve annotation workflows for autonomous-vehicle testing using Python and ClickHouse.
Senior Data Engineer rebuilding the data layer for idealista's core vertical, designing data models, governance practices, and ETL pipelines using advanced SQL, dbt, and columnar/OLAP databases.
Build internal fullstack tools—annotation platforms, dashboards, and workflow systems—for research and operations teams at a robotics AI company, using React, TypeScript, Python, Postgres, ClickHouse, GCP, and Kubernetes.
About Nominal Nominal is building the connected test and operations platform powering the world's most advanced hardware systems, from spacecraft and autonomous vehicles to next-generation defense programs. Our…
Manage daily accounts payable operations, vendor invoice processing, and reconciliations for a cloud database company, leveraging Netsuite, Bill.com, and Excel/Google Sheets.
Accounts Payables Analyst managing daily AP operations—invoice processing, vendor onboarding, reconciliations, and compliance support—using Bill.com, Expensify, Ramp, FloQast, Omnea, and NetSuite at a cloud database company.
Build and lead detection engineering and incident response capabilities across corporate, production, and AI-agent surfaces using cloud telemetry, SIEM/data-lake stacks, and detections-as-code.
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